Evidence map›Paper›PMID 38404680›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2024

Risk of Postpartum Dental Caries: Survival Analysis of Black/African American and White Women in Appalachia.

Morgan Byrd, Elyse Davis, Freida Blostein, Deesha Bhaumik, John R Shaffer, Daniel W McNeil, Mary L Marazita, Betsy Foxman

Open access · goldAbstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Morgan ByrdDepartment of Epidemiology, Center of Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Elyse DavisDepartment of Epidemiology, Center of Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Freida BlosteinDepartment of Epidemiology, Center of Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Deesha BhaumikDepartment of Epidemiology, Center of Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
John R ShafferDepartment of Oral and Craniofacial Sciences, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Daniel W McNeilDepartment of Community Dentistry and Behavioral Science, College of Dentistry, University of Florida, Gainesville, Florida, USA.
Mary L MarazitaDepartment of Oral and Craniofacial Sciences, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Betsy FoxmanDepartment of Epidemiology, Center of Molecular and Clinical Epidemiology of Infectious Diseases, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-6682-238X
University of Michigan · USUniversity of Pittsburgh · USUniversity of Florida · US

Funding

Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
NHGRI NIH HHS T32 HG000040NIDCR NIH HHS R01 DE014899
6 · The paper itself

Abstract

Background: Pregnancy is associated with increased risk of caries, but the extent this increase extends into the postpartum period is poorly understood. Study Objective: Describe the epidemiology of dental decay in the postpartum period among Black/African American and White American women and explore associations with potentially modifiable risk factors. Materials and Methods: We analyzed data from 1,131 Black/African American and White women participating in Center for Oral Health Research in Appalachia cohorts. Women were enrolled during the first two trimesters of pregnancy. Calibrated dental professionals completed dental examinations at the prenatal enrollment visit, and 2-month, 1-year, 2-year, and 3-year postpartum visits. Results: Between the prenatal visit and 2-month visit, the incidence of decayed, missing, and filled teeth (DMFT) increase was 6.92/100 person-months, compared to 3.6/100 person-months between the 2-month and 1-year visit. In a multivariate Cox proportional hazard regression predicting incidence of caries up to 3-years postpartum, being younger, having less than college education, a household income <$50,000, smoking cigarettes, a DMFT >0, a very poor or poor Oral hygiene Rating Index, lower salivary pH at enrollment, or frequently drinking 100% juice increased the hazard of new dental caries. Adjusting for race/ethnic group did not affect the direction or magnitude of observed associations. Conclusions: The strong associations of prior DMFT and Oral Rating Index with occurrence of new dental caries postpartum suggests that targeting young women for interventions to improve oral health may be more valuable for reducing caries incidence during pregnancy and in the postpartum period than targeting women only during pregnancy.

Indexed as

cohort studiesdental public healthepidemiologywomen's health

Identifiers

PMID38404680
PMCPMC10890941
OpenAlexW4391849957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.